Novartis - Data Engineering Manager - Google Cloud Platform

Summary :

We are seeking a highly skilled and motivated GCP Data Engineering Manager to join our dynamic team. As a Data Engineering manager specializing in Google Cloud Platform (GCP), you will play a crucial role in designing, implementing, and maintaining scalable data pipelines and systems. You will leverage your expertise in Google Big Query, SQL, Python, and analytical skills to drive data-driven decision-making processes and support various business functions.

About The Role :

Key Responsibilities :

- Data Pipeline Development : Design, develop, and maintain robust data pipelines using GCP services like Dataflow, Dataproc, ensuring high performance and scalability.

- Google Big Query Expertise : Utilize your hands-on experience with Google Big Query to manage and optimize data storage, retrieval, and processing.

- SQL Proficiency : Write and optimize complex SQL queries to transform and analyze large datasets, ensuring data accuracy and integrity.

- Python Programming : Develop and maintain Python scripts for data processing, automation, and integration with other systems and tools.

- Data Integration : Collaborate with data analysts, and other stakeholders to integrate data from various sources, ensuring seamless data flow and consistency.

- Data Quality and Governance : Implement data quality checks, validation processes, and governance frameworks to maintain high data standards.

- Performance Tuning : Monitor and optimize the performance of data pipelines, queries, and storage solutions to ensure efficient data processing.

- Documentation : Create comprehensive documentation for data pipelines, processes, and best practices to facilitate knowledge sharing and team collaboration.

Minimum Qualifications :

- Proven experience (minimum 6 - 8 yrs) in Data Engineer, with significant hands-on experience in Google Cloud Platform (GCP) and Google Big Query.

- Proficiency in SQL for data transformation, analysis and performance optimization.

- Strong programming skills in Python, with experience in developing data processing scripts and automation.

- Proven analytical skills with the ability to interpret complex data and provide actionable insights.

- Excellent problem-solving abilities and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team enviro

Desired Skills :

- Experience with Google Analytics data and understanding of digital marketing data.

- Familiarity with other GCP services such as Cloud Storage, Dataflow, Pub/Sub, and Dataproc.

- Knowledge of data visualization tools such as Looker, Tableau, or Data Studio.

- Experience with machine learning frameworks and libraries.